Detecting Campylobacter Bacteria and Phagocytotic Activity of Leukocytes from Gram Stained Smears Images

Abstract

In this paper, we develop the method to detect Campylobacter bacteria and phagocytotic activity of leukocytes from Gram stained smears images. First, we improve VGG16 by adding batch normalization and by replacing flatten with global average pooling and construct the classifier by using transfer learning model based on the improved VGG16. Then, by comparing the detection by the VGG16 with that by the improved VGG16, for the classification of Camphylobacter bacteria, we give experimental results of classifying Campylobacter images with non-Campylobacter images. On the other hand, for the classification of phagocytotic activity of leukocytes, we give experimental results of classifying phagocytotic images with quasi- and non-phagocytotic images and of classifying phagocytotic images, quasi-phagocytotic images and non-phagocytotic images.